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Diesel buses often face several issues, including high fuel consumption and increased emissions. Various factors, such as Passenger load, road slope, and traffic lights, are among the most significant influences on these problems. These elements play a key role in evaluating a bus’s energy efficiency and environmental impact. This research introduces an eco-driving methodology using Fuzzy Logic (FL) and Vehicle-to-Infrastructure (V2I) communication technology to decrease energy usage and emissions in diesel buses. The FL system optimizes bus velocity by taking into account variables such as traffic signal conditions, road gradient, speed restrictions, and passenger load. Simulations were conducted using SUMO and Python at Sousse, Tunisia, to assess the performance of both equipped and unequipped buses at controlled and uncontrolled intersections. Results indicated that buses fitted with the FL system realized a fuel consumption reduction of up to 23.05% and a 22.56% decline in emissions relative to buses without the system. These results outperform similar research and illustrate the potential of integrating FL and V2I technologies. This integration can enhance sustainability and efficiency in public transportation by reducing environmental impacts and supporting the transition to more sustainable transport networks.

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Energy Consumption and Emissions Reduction: A Fuzzy Logic and V2I Eco-Driving Approach for Conventional Buses

  • 会议论文

  • 发表日期：

    2025年

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  • Samia Boubaker,
  • Tarek Othmani,
  • Ferid Rehimi,
  • Souheil ElAlimi

摘要

Diesel buses often face several issues, including high fuel consumption and increased emissions. Various factors, such as Passenger load, road slope, and traffic lights, are among the most significant influences on these problems. These elements play a key role in evaluating a bus’s energy efficiency and environmental impact. This research introduces an eco-driving methodology using Fuzzy Logic (FL) and Vehicle-to-Infrastructure (V2I) communication technology to decrease energy usage and emissions in diesel buses. The FL system optimizes bus velocity by taking into account variables such as traffic signal conditions, road gradient, speed restrictions, and passenger load. Simulations were conducted using SUMO and Python at Sousse, Tunisia, to assess the performance of both equipped and unequipped buses at controlled and uncontrolled intersections. Results indicated that buses fitted with the FL system realized a fuel consumption reduction of up to 23.05% and a 22.56% decline in emissions relative to buses without the system. These results outperform similar research and illustrate the potential of integrating FL and V2I technologies. This integration can enhance sustainability and efficiency in public transportation by reducing environmental impacts and supporting the transition to more sustainable transport networks.